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[](https://github.com/taiyun/corrplot/actions)
[](https://app.codecov.io/github/taiyun/corrplot?branch=master)
[](https://cran.r-project.org/package=corrplot)
[](https://www.r-pkg.org/pkg/corrplot)
## Summary
R package **corrplot** provides a visual exploratory tool on correlation matrix that
supports automatic variable reordering to help detect hidden patterns among variables.
corrplot is very easy to use and provides a rich array of plotting options in
visualization method, graphic layout, color, legend, text labels, etc.
It also provides p-values and confidence intervals to help users determine the
statistical significance of the correlations.
For examples, see its
[online vignette](https://taiyun.github.io/corrplot/).
This package is licensed under the MIT license, and available on CRAN:
<https://cran.r-project.org/package=corrplot>.
## Basic example
```r
library(corrplot)
M = cor(mtcars)
corrplot(M, order = 'hclust', addrect = 2)
```
## Download and Install
To download the release version of the package on CRAN, type the following at the R command line:
```r
install.packages('corrplot')
```
To download the development version of the package, type the following at the R command line:
```r
devtools::install_github('taiyun/corrplot', build_vignettes = TRUE)
```
## How to cite
To cite `corrplot` properly, call the R built-in command
`citation('corrplot')` as follows:
```r
citation('corrplot')
```
## Reporting bugs and other issues
If you encounter a clear bug, please file a minimal reproducible example on
[github](https://github.com/taiyun/corrplot/issues).
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